In the olden days, every family had a record player (also known as a “turntable”), and pretty much everyone knew how to use it. However, if you look at the Customer Questions & Answers section for a turntable currently on sale on Amazon, it’s clear that many people today don’t know how a turntable works, or what it does. Common knowledge sometimes isn’t as common as people think.
We’ve started work on the next course to be added to the WriteLessons bundle of online training courses – “Reviewing and Editing Technical Documents”. In this situation, we may try an experiment and release each module as it is completed, rather than publish all the modules in one go.
The modules will be: revising, editing, copy editing, proof-reading, getting documents edited, possibly measuring the effectiveness of documents, and managing updates. More news when we have it.
On an API documentation course we ran for a client yesterday, we showed a number of developer documentation websites, including ones from Amazon, Dropbox, Google and Microsoft. One common theme the delegates noticed was these sites contained a in-page table of contents, or a set of related links, on the right hand set of the screen.
You will often hear Information Designers talk about F shaped reading, and that the right edge of the screen is ignored by users. If you put content there, they say, it probably won’t be seen by the readers.
So have Amazon, Dropbox, Google and Microsoft all got it wrong, by using the right edge of the screen to provide navigation? Have the improvements in screen technology and the introduction of tablets and smartphones changed which areas of the screen users notice?
What do you think?
One of the trends in both data and content management is the move away from silos. In data management circles, there is a trend towards the collection and aggregation of customer data into “data lakes”. According to Margaret Rouse, a data lake is:
A storage repository that holds a vast amount of raw data in its native format until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data. Each data element in a lake is assigned a unique identifier and tagged with a set of extended metadata tags. When a business question arises, the data lake can be queried for relevant data, and that smaller set of data can then be analyzed to help answer the question…Like big data, the term data lake is sometimes disparaged as being simply a marketing label for a product that supports Hadoop. Increasingly, however, the term is being accepted as a way to describe any large data pool in which the schema and data requirements are not defined until the data is queried.
(source: what is a data lake?)
“Content lake” isn’t a word that’s used in the content management or technical communication sectors yet, and whilst it seems unlikely end user content will grow at the same rate as other forms of data, there’s a fair chance this phrase could catch on.
A content lake is likely to have similar attributes to a data lake:
- Content will be stored in a native format that is then changed into other formats.
- It will use a flat architecture to store data.
- Content will be stored in some type of structured format. Perhaps XML, JSON or plain text (with AsciiDoc-like attributes assigned to certain sections). However, user documentation does not require the rigorous structure of other forms of content.
- The content lake can be queried for relevant content, and that a smaller set of information can then be extracted to help answer questions. This might not mean publishing content on-the-fly, but generating PDFs, CHM files and web-based content from a single source.
- Rather than content being simply archived, it will deliver the right information in very short timeframes.
Please share your comments below.
Tom Johnson has written two interesting posts on his blog on the “Documentation as Code” concept:
Documentation as Code can be interpreted in a few ways. Tom describes it as being able to store the documentation with the code:
From a technical angle, Etter argues that one should embrace lightweight markup languages, use static site generators, and store content in version control repositories with engineering code.
An other interpretation associated with this is that documentation should be seen as a design problem; it should be seen as part of the product (and seen in a similar way to the software code), rather than an add-on. If the documentation is stored with the code, it can mean that the requirements for documentation can be more closely linked to the code. When a requirement for a new feature is raised, so can a requirement for the related documentation. It can also mean that content that’s embedded in the UI, presented as on-boarding screens or presented as online Help, can be considered as different potential solutions to each user need.
Documentation as Code is a topic we touch on in our advanced technical writing training course. It’s an approach that we may see growing in popularity.
Yesterday, I saw a presentation by Hazel Southwell on the EU’s General Data Protection Regulation (GDPR), which will be implemented on the 25th May 2018. The impact in its data privacy and protection rules seem likely to affect pretty much every website, with the threat of hefty fines for those that do not comply.
Organisations providing personalised Help content, by storing information in cookies or monitoring the behaviour of users living in the EU by tracking their digital activities, will need to comply with the GDPR regulations. In particular:
- Businesses will have to adopt governance and accountability standards and meet their data privacy obligations.
- Clear and affirmative consent to the processing of private data must be provided, and the relevant information must be laid out in simple terms.
- Organisations need to consider the risks of transferring data (such as the storing of cookies or IP addresses) to countries outside of the EU.
One solution is to require users to log in to see information. However, this may be an unpopular and impractical solution for many users.
Just a quick update on some recent training-related news.
We’ve scheduled some new classroom courses:
We’re also continuing to add more courses to WriteLessons – our bundle of elearning courses for technical communicators looking to expand their core skills. We’ve added courses called “Writing and designing embedded Help” and “Markdown”.
WriteLessons is a subscription service – a bit like Netflix. You pay for it for as long as you need it. You can stop when you want, and the subscription will finish at the end of that month. You have access to all of the courses, which you can take at your own pace.
We’re currently working on a module on post-writing and verification, which focuses on editing and proof reading, which will be added to WriteLessons. You might also see a course on Cascading Style Sheets in the upcoming months.
WriteLessons, from Cherryleaf, provides you with access to a range of courses in technical communication. You have access to all of the courses contained within WriteLessons, which you can take at your own pace.
Currently in beta, we’ll be adding extra courses over time. At launch, it contains:
- DITA fundamentals
- Single sourcing and content reuse training course
- Introduction to content strategy
- Documenting REST APIs
- Managing technical documentation projects
You have access to all of the courses in the collection under a Netflix-style subscription plan.